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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
ISSN : 25024752     EISSN : 25024760     DOI : -
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Articles 9,226 Documents
Cotton Pests and Diseases Detection Based on Image Processing Qinghai He; Benxue Ma; Duanyang Qu; Qiang Zhang; Xinmin Hou; Jing Zhao
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 6: June 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Extract the damaged image form the cotton image in order to measure the damage ratio of the cotton leaf which caused by the diseases or pests. Several algorithms like image enhancement, image filtering which suit for cotton leaf processing were explored in this paper. Three different color models for extracting the damaged image from cotton leaf images were implemented, namely RGB color model, HSI color model, and YCbCr color model. The ratio of damage (γ) was chosen as feature to measure  the degree of damage which caused by diseases or pests. This paper also shows the comparison of the results obtained by the implementing in different color models, the comparison of results shows good accuracy in both color models and YCbCr color space is considered as the best color model for extracting the damaged image. DOI: http://dx.doi.org/10.11591/telkomnika.v11i6.2721
Evaluation and calculations of modes resonant cantilever for laser optical fiber assembly Mohanad H. Ali
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 2: February 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i2.pp975-981

Abstract

Biosensors depend on cantilevers have developed a promising tool for detecting biomedical, optical laser communication and many fields of interactions with high accuracy. We modeled the operation of cantilevers with two magnetic and coil using Ansys program. This simulation technique can capably be used to select the appropriate design and dimensions of cantilever with the geometry of system. The primary main of the magnetic design is to improve the geometry of the coil and shape to yield a highly uniform for 3D of optical fiber includes Silica Glass and  Nickel cantilever, two magnets and one coil that apply to force on the cantilever cylinder is using as a cantilever in the designing of this case.In conclusion,resonant frequency(  tuning applying cantilivier presented in the resracher have larger variable range by using 2-magnets with the coil.However,the adjusting of the system and changing the deminsions.Resolutions to this problematic contain tuning the modes of resonant frequency to produce by cantilivier with  2-magnets and coil when the signal  pass from  laser source. Based on these simulations and characterization results, the proposed assembly can be a good applicant for evolving a low price, high material platform for many biological, laser optical fiber, communication, machine learning, biosensors and biomedical applications.
Application of Zigbee in Smart Home with Dynamic Routing Algorithm Jia Meng; Li Zhongqin
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 1: January 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

In order to avoid damaging the walls and bore a hole through the walls., also to save the cost of rewiring , low voltage power line can be used to implement the smart home .However ,several difficult problem must be solved at the same time , the most important are finding a technology method to suppress the noise interference and resist the weaker signal. The  smart home system is introduced in the paper. During the design of Smart Home System adopting power line signal carrier, a dynamic routine algorithm based on the idea of Genetic Algorithm is proposed to cope with the time-varying and random feature of power line channel. Thus the system can find the transmission path in real time and dispatch the signal carrier to transmit among the nodes. With this algorithm, the communication between a certain group-controller and its terminal nodes or between the main-controller and the group-controllers is realized successfully. In the proposed algorithm all nodes but the controller adopt same driver, therefore the plug and play is realized for all nodes. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.4001   
Flexible Power Regulation of Grid-Connected Inverters for PV Systems Using Model Predictive Direct Power Control R S Ravi Sankar; S.V. Jayaram Kumar; K. K. Deepika
Indonesian Journal of Electrical Engineering and Computer Science Vol 4, No 3: December 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v4.i3.pp508-519

Abstract

This paper presents a Model Predictive Direct Power Control (MPDPC) strategy for a grid-connected inverter used in a photovoltaic system, as found in many distributed generating installations. The controller uses a system model to predict the system behavior at each sampling instant. Using a cost function, the voltage vector with least power ripple is generated. The resultant voltage vector is applied during the next sampling period which gives flexible power regulation. The effectiveness of the proposed MPDPC strategy is verified using MATLAB/ SIMULINK. 
K-Means Clustering and Genetic Algorithm to Solve Vehicle Routing Problem with Time Windows Problem Adyan Nur Alfiyatin; Wayan Firdaus Mahmudy; Yusuf Priyo Anggodo
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: August 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i2.pp462-468

Abstract

Distribution is an important aspect of industrial activity to serve customers on time with minimal operational cost. Therefore, it is necessary to design a quick and accurate distribution route. One of them can be design travel distribution route using the k-means method and genetic algorithms. This research will combine k-means method and genetic algorithm to solve VRPTW problem. K-means can do clustering properly and genetic algorithms can optimize the route. The proposed genetic algorithm employs initialize chromosome from the result of k-means and using replacement method of selection. Based on the comparison between genetic algorithm and hybrid k-means genetic algorithm proves that k-means genetic algorithm is a suitable combination method with relative low computation time, are the comparison between 2700 and 3900 seconds.
Survey on wireless sensor networks: energy efficient optimization routing algorithms V. Sivasankarareddy; G. Sundari
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 2: August 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i2.pp756-765

Abstract

Wireless Sensor Network is extensively utilized in numerous places, such as protection surveillance. In Wireless Sensor Network, sensing unit networks are particular arbitrarily in addition to likewise in-network relying upon the technique is used to extend the network. As sensing unit nodes make use of strength from batteries for noticing the facts in addition to forwarding data, it uses the capability for those answers. The sizable troubles in cordless networks include power optimization, protection, directing, and project type. In this paper, current procedures in escaping power utilization of Wireless Sensor Network in addition to distinctive protocols and also Methods are researched. Additionally, destiny research have a look at on strength efficiency in Wireless Sensor Network putting forward new terms as well as targets for in addition examination is mentioned. Depiction of optimizing strategies like particle swarm optimization set of rules as well as ant swarm optimization Formula is already possible for lowering the electricity loss and complements the life of sensor community but those strategies take in greater time. This paper gives surveying extraordinary different optimization techniques below the multi-objective facet that takes region in tradeoffs. Information extracting in sensing unit networks is the technique of obtaining software-enabled plans in addition to patterns with gratifying accuracy from a constant, speedy, in addition to probable non-ended flow of facts streams from sensor networks. Various boundaries in preceding optimization Algorithms and suggesting a great deal better treatment through applying Data extracting Strategies for Wireless Sensing unit Networks is carried out.
PMSM Control Simulation Based on Pumping Unit Zikuan Zhang; Lin He
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 4: April 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

To study direct drive pumping unit of operating state, permanent magnet synchronous motor open-loop control system was used to model and simulate based on Matlab/Simulink software, and analyzed the waveforms change with different torque. The results indicate that permanent magnet synchronous motor can operate smoothly under low speed and high torque condition, and can meet work requirement of direct drive pumping unit with acceleration. The proposed Simulink simulation system can achieve stable control in actual operation, and its effectiveness was confirmed experimentally. Results of simulation analysis have some certain practical value for pumping unit driven by permanent magnet synchronous motor. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4836
Indonesian sign language recognition using kinect and dynamic time warping Wijayanti Nurul Khotimah; Nanik Suciati; Tiara Anggita
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 1: July 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i1.pp495-503

Abstract

Sign Language Recognition System (SLRS) is a system to recognise sign language and then translate them into text. This system can be developed by using a sensor-based technique. Some studies have implemented various feature extraction and classification methods to recognise sign language in the different country. However, their systems were user dependent (the accuracy was high when the trained and the tested user were the same people, but it was getting worse when the tested user was different to the trained user). Therefore in this study, we proposed a feature extraction method which is invariant to a user. We used the distance between two users’ skeleton instead of using the users’ skeleton positions because the skeleton distance is independent to the user posture. Finally, forty-five features were extracted in this proposed method. Further, we classified the features by using a classification method that is suitable with sign language gestures characteristic (time-dependent sequence data). The classification method is Dynamic Time Wrapping. For the experiment, we used twenty Indonesian sign languages from different semantic groups (greetings, questions, pronouns, places, family and others) and different gesture characteristic (static gesture and dynamic gesture). Then the system was tested by a different user with the user who did the training. The result was promising, this proposed method produced high accuracy, reach 91% which shows that this proposed method is user independent.
Performance Analysis of ZigBee Mesh WSN in Carbon Monoxide Gas Monitoring System Muhammad Fuad; Muhammad Iqbal; Mamat Rahmat; Heru Sukoco; Husin Alatas
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 3: September 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i3.pp576-583

Abstract

The need for air pollutant monitoring system is very substantial especially in the developing countries such as Indonesia. In this research, we have performed a test of such system for carbon monoxide gas based on wireless sensor network (WSN) using ZigBee. This system is working with a mesh topology where each sensor node can communicate with one another. There are seven nodes that serve as sensor nodes and one node serving as Coordinator. Each sensor node has five components that represent of gas sensors. We measure three performance metrics during the test, i.e. throughput, delay, and packet loss. The system has been successfully implemented which is capable of displaying information in real time. The experiment resulted in an average carbon monoxide value of 25.1 ppm and showed a good performance. It showed a throughput more than 1.017 kbps, delay and packet loss ratio less than 409 ms and 5 %, respectively.
Solid-Liquid Two-Phase Flow Image Reconstruction Based on ERT Technique in Microchannel Yonghong Liu; Xiantao Wang; Masahiro Takei
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 1: January 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Monitoring the flow behaviour on the micro-scale is very important in many industrial and biochemical process, the multiphase coexistence in microchannel provides many attractive characteristics compared to a single-phase flow. The precise flow rate control and well-defined channel geometries make it possible for us to make detailed investigation on multiphase flow phenomena on micro scale. This paper aims at the solid-liquid two phase flow visualization in the cross-sections of a novel microchannel based on the electrical resistance tomography (ERT) technique. Experimental results reveal that ERT image reconstruction technique base on Agilent data acquisition system can effectively detect the particle distribution in the microchannel. DOI: http://dx.doi.org/10.11591/telkomnika.v11i1.1885

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